Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge
Stroke2021Vol. 52(7), pp. 2328–2337
Citations Over TimeTop 10% of 2021 papers
Arsany Hakim, Sören Christensen, Stefan Winzeck, Maarten G. Lansberg, Mark Parsons, Christian Lucas, David Robben, Roland Wiest, Mauricio Reyes, Greg Zaharchuk
Abstract
Machine learning methods may predict infarcted tissue from CTP with improved accuracy compared with threshold-based methods used in clinical routine. This dataset will remain public and can be used to test improvement in algorithms over time.
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